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Showing 3 Data Architect jobs in Delhi

Data Architect

Delhi, Delhi Talent Nexa Consulting

Posted 27 days ago

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Job Description

remote

Were Hiring for Our Client! | Data Architect | Remote | Up to 1 Cr + ESOPs



Our client, a leading B2B/SaaS company , is looking for a Data Architect to drive innovation, scalability, and efficiency in data & platform engineering . This is a high-impact role where you'll play a crucial part in shaping the company's data infrastructure and strategy.



What to Expect in This Role:
  • Hands-on individual contributor role initially, with the opportunity to grow into a management leadership position .
  • Architect and optimize high-scale, distributed data systems .
  • Design and implement scalable data pipelines, APIs, and data infrastructure .
  • Define and execute the data strategy & roadmap , collaborating with cross-functional teams.
  • Ensure data governance, security, and compliance best practices.
  • Preference will be given to candidates from product-based companies due to the complexity and scale of the role.



Key Requirements:

 - Minimum 12 years in software/data engineering (2+ years in an architect role)

 - Strong expertise in distributed systems, big data, and cloud platforms (AWS/GCP/Azure)

 - Hands-on experience with Kafka, Spark, SQL, NoSQL, Data Lakes, ETL Pipelines

 - Deep understanding of system design, algorithms, and data governance

 - Education: B.Tech from a Tier 1 institute preferred

 - Product-based company experience preferred


Why Join?

  • Initial Individual Contributor Role Transition into a leadership position as the team scales.
  • Opportunity to work on large-scale distributed data systems that power high-performance applications.
  • Be part of a team that values innovation, problem-solving, and cutting-edge technology .
  • Competitive compensation up to 1 Cr + ESOPs and a flexible remote work environment .

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Data Integration & Modeling Specialist

Delhi, Delhi ALIQAN Technologies

Posted 1 day ago

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Job Description

contract

Job Title: Data Integration & Modeling Specialist

Job Type: Contract

Location: Remote

Duration: 6 Months



Job Summary:

We are seeking a highly skilled Data Integration & Modeling Specialist with hands-on experience in developing common metamodels, defining integration specifications, and working with semantic web technologies and various data formats. The ideal candidate will bring deep technical expertise and a collaborative mindset to support enterprise-level data integration and standardization initiatives.


Key Responsibilities:

Develop common metamodels by integrating requirements across diverse systems and organizations.


Define integration specifications, establish data standards, and develop logical and physical data models.


Collaborate with stakeholders to align data architectures with organizational needs and industry best practices.


Implement and govern semantic data solutions using RDF and SPARQL.


Perform data transformations and scripting using TCL, Python, and Java.


Work with multiple data formats including FRL, VRL, HRL, XML, and JSON to support integration and processing pipelines.


Document technical specifications and provide guidance on data standards and modeling best practices.


Required Qualifications:

3+ years of experience (within the last 8 years) in developing common metamodels, preferably using NIEM standards.


3+ years of experience (within the last 8 years) in:


Defining integration specifications


Developing data models


Governing data standards


2+ years of recent experience with:


Tool Command Language (TCL)


Python


Java


2+ years of experience with:


Resource Description Framework (RDF)


SPARQL Query Language


2+ years of experience working with:


Fixed Record Layout (FRL)


Variable Record Layout (VRL)


Hierarchical Record Layout (HRL)


XML


JSONodeling Specialist

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Lead Data Scientist - Financial Risk Modeling

110001 Delhi, Delhi ₹1800000 Annually WhatJobs

Posted 8 days ago

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Job Description

full-time
Our client, a premier financial institution, is actively seeking a Lead Data Scientist specializing in Financial Risk Modeling to join their fully remote team. You will be at the forefront of developing and implementing advanced statistical and machine learning models to assess and mitigate financial risks. This role requires a deep understanding of risk management principles, regulatory requirements (e.g., Basel III, CCAR), and cutting-edge data science techniques. You will lead a team of data scientists, providing technical guidance and mentorship, and collaborating closely with risk management, business intelligence, and technology departments. Responsibilities include designing model validation frameworks, deploying models into production, and interpreting complex results for stakeholders. Expertise in Python or R, SQL, machine learning libraries, and experience with large datasets are essential. We are looking for an innovative thinker with a proven ability to translate complex data insights into actionable risk strategies within the financial services industry. This is a unique opportunity to shape the risk management framework of a leading financial organization from a remote position.
Responsibilities:
  • Lead the development, implementation, and validation of advanced statistical and machine learning models for financial risk assessment (e.g., credit risk, market risk, operational risk).
  • Design and oversee model validation processes to ensure accuracy, robustness, and regulatory compliance.
  • Collaborate with risk managers, business analysts, and other stakeholders to define modeling requirements and interpret results.
  • Mentor and guide junior data scientists and analysts within the team.
  • Develop and maintain data pipelines and infrastructure for model training and deployment.
  • Stay abreast of the latest advancements in data science, machine learning, and financial risk management.
  • Communicate complex findings and model insights clearly to both technical and non-technical audiences.
  • Ensure models adhere to regulatory guidelines and internal governance standards.
  • Propose innovative solutions to address evolving risk challenges.
Qualifications:
  • Ph.D. or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • 7+ years of experience in data science, with a strong focus on financial risk modeling.
  • Proven expertise in statistical modeling, machine learning algorithms, and predictive analytics.
  • Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong SQL skills and experience working with large, complex datasets.
  • Deep understanding of financial markets, risk management concepts, and regulatory frameworks.
  • Experience with model validation techniques and best practices.
  • Excellent leadership, communication, and presentation skills.
  • Ability to work effectively in a remote, collaborative team environment.
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